Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma

OBJECTIVES: A more accurate preoperative prediction of lymph node metastasis (LNM) plays a decisive role in the selection of treatment in patients with laryngeal carcinoma (LC). This study aimed to develop a machine learning (ML) prediction model for predicting LNM in patients with LC. METHODS: We c...

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Detalles Bibliográficos
Autores principales: Feng, Menglong, Zhang, Juhong, Zhou, Xiaoqing, Mo, Hailan, Jia, Lifeng, Zhang, Chanyuan, Hu, Yaqin, Yuan, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675609/
https://www.ncbi.nlm.nih.gov/pubmed/36411795
http://dx.doi.org/10.1155/2022/6356399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675609/
https://www.ncbi.nlm.nih.gov/pubmed/36411795
http://dx.doi.org/10.1155/2022/6356399

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